Evidence map›Paper›PMID 41526779›Full record

ArticleNano-micro letters2026

Ferroelectric Optoelectronic Sensor for Intelligent Flame Detection and In-Sensor Motion Perception.

Jiayun Wei, Guokun Ma, Runzhi Liang, Wenxiao Wang, Jiewei Chen, Shuang Guan, Jiaxing Jiang, Ximo Zhu, Qian Cheng, Yang Shen and 9 more

Abstract read
In one paragraph

Article in Nano-micro letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. High Dynamic Range 120 dB GaSmall (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Jiayun Wei *School of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Guokun Ma *School of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Runzhi Liang *School of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Wenxiao Wang *School of Physics, South China Normal University, Guangzhou, 510006, People's Republic of China.
Jiewei ChenSchool of Physics, South China Normal University, Guangzhou, 510006, People's Republic of China.
Shuang GuanSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Jiaxing JiangSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Ximo ZhuSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Qian ChengSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Yang ShenSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Qinghai XiaSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Shiwen WuSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Houzhao WanSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Longhui ZengSchool of Physics and Microelectronics, Key Laboratory of Material Physics Ministry of Education, Zhengzhou University, Zhengzhou, 450052, People's Republic of China. lhzeng.hfut@gmail.com.
Mengjiao LiSchool of Microelectronics, Shanghai University, Jiading, Shanghai, 201800, People's Republic of China.
Yi WangCenter for Microscopy and Analysis, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, People's Republic of China.
Liangping ShenSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China. lpshen@hubu.edu.cn.
Wei HanSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China. weihan@hubu.edu.cn.
Hao WangSchool of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China. wangh@hubu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation fire safety systems demand precise detection and motion recognition of flames. In-sensor computing, which integrates sensing, memory, and processing capabilities, has emerged as a key technology in flame detection. However, the implementation of hardware-level functional demonstrations based on artificial vision systems in the solar-blind ultraviolet (UV) band (200-280 nm) is hindered by the weak detection capability. Here, we propose Ga

Indexed as

Flame detectionFlame motion recognitionGallium oxideIndium selenide

Identifiers

PMID41526779
PMCPMC12796090

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.